Institute Affairs / Affaires de l’Institut
Bibliographic record
Abstract
etaphorically, darkness has for many centuries been used to represent evil or ignorance.Recently, former CIF/IFC President and past Chronicle Editor Vidar Nordin sent me a note in response to our success in securing a grant from the TD Friends of the Environment Foundation.Vidar provided an inspiring quote: it is better to light one candle than curse the darkness.It is a variation on an old Chinese proverb basically saying that if something is wrong, then do something about it, rather than just complain-a verbal prod that most of us certainly need from time to time.Indeed many of us have managed to solve the world's problems in a bar with a few friends, or perhaps during discourse at yet another meeting, but seldom do we put our money or time, where our mouth is...In this short essay I want to discuss 3 of the 'darknesses' (sic) and their associated symptoms that have eclipsed and masked true understanding about forestry, as well as present options that the Institute offers to members to light that symbolic candle.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".